11 Ways AI Made the World Better in 2023

11 Ways AI Made the World Better in 2023

AI made a splash this year — from Wall Street to the U.S. Congress — driven by a wave of developers aiming to make the world better.

Here’s a look at AI in 2023 across agriculture, natural disasters, medicine and other areas worthy of a cocktail party conversation.

This AI Is on Fire

California has recently seen record wildfires. With scorching heat late into the summer, the state’s crispy foliage becomes a tinderbox that can ignite and quickly blaze out of control. Burning for solutions, developers are embracing AI for early detection.

DigitalPath, based in Chico, California, has refined a convolutional neural network to spot wildfires. The model, run on NVIDIA GPUs, enables thousands of cameras across the state to detect wildfires in real time for the ALERTCalifornia initiative, a collaboration between the University of California, San Diego, and the CAL FIRE wildfire agency.

The mission is near and dear to DigitalPath employees, whose office sits not far from the town of Paradise, where California’s deadliest wildfire killed 85 people in 2018.

“It’s one of the main reasons we’re doing this,” said CEO Jim Higgins. “We don’t want people to lose their lives.”

Earth-Shaking Research

A team from the University of California, Santa Cruz; University of California, Berkeley; and the Technical University of Munich released a paper this year on a new deep learning model for earthquake forecasts.

Shaking up the status quo around the ETAS model standard, developed in 1988, the new RECAST model, trained on NVIDIA GPUs, is capable of using larger datasets and holds promise for making better predictions during earthquake sequences.

“There’s a ton of room for improvement within the forecasting side of things,” said Kelian Dascher-Cousineau, one of the paper’s authors.

AI’s Day in the Sun

Verdant, based in the San Francisco Bay Area, is supporting organic farming. The startup develops AI for tractor implements that can weed, fertilize and spray, providing labor support while lowering production costs for farmers and boosting yields.

The NVIDIA Jetson Orin-based robots-as-a-service business provides farmers with metrics on yield gains and chemical reduction. “We wanted to do something meaningful to help the environment,” said Lawrence Ibarria, chief operating officer at Verdant.

Living the Dream 

Ge Dong is living out her childhood dream, following in her mother’s footsteps by pursuing physics. She cofounded Energy Singularity, a startup that aims to lower the cost of building a commercial tokamak — which can cost billions of dollars —for fusion energy development.

It brings the promise of cleaner energy.

“We’ve been using NVIDIA GPUs for all our research — they’re one of the most important tools in plasma physics these days,” she said.

Gimme Shelter

Chaofeng Wang, a University of Florida assistant professor of artificial intelligence, is enlisting deep learning and images from Google Street View to evaluate urban buildings. By automating the process, the work is intended to assist governments in supporting building structures and post-disaster recovery.

“Without NVIDIA GPUs, we wouldn’t have been able to do this,” Wang said. “They significantly accelerate the process, ensuring timely results.”

AI Predicts Covid Variants

A Gordon Bell prize-winning model, GenSLMs has shown it can generate gene sequences closely resembling real-world variants of SARS-CoV-2, the virus behind COVID-19. Researchers trained the model using NVIDIA A100 Tensor Core GPU-powered supercomputers, including NVIDIA’s Selene, the U.S. Department of Energy’s Perlmutter and Argonne’s Polaris system.

“The AI’s ability to predict the kinds of gene mutations present in recent COVID strains — despite having only seen the Alpha and Beta variants during training — is a strong validation of its capabilities,” said Arvind Ramanathan, lead researcher on the project and a computational biologist at Argonne.

Jetson-Enabled Autonomous Wheelchair

Kabilan KB, an undergraduate student from the Karunya Institute of Technology and Sciences in Coimbatore, India, is developing an NVIDIA Jetson-enabled autonomous wheelchair. To help boost development, he’s been using NVIDIA Omniverse, a platform for building and operating 3D tools and applications based on the OpenUSD framework.

“Using Omniverse for simulation, I don’t need to invest heavily in prototyping models for my robots, because I can use synthetic data generation instead,” he said. “It’s the software of the future.”

Digital Twins for Brain Surgery

Atlas Meditech is using the MONAI medical imaging framework and the NVIDIA Omniverse 3D development platform to help build AI-powered decision support and high-fidelity surgery rehearsal platforms — all in an effort to improve surgical outcomes and patient safety.

“With accelerated computing and digital twins, we want to transform this mental rehearsal into a highly realistic rehearsal in simulation,” said Dr. Aaron Cohen-Gadol, founder of the company.

Keeping AI on Energy 

Artificial intelligence is helping optimize solar and wind farms, simulate climate and weather, and support power grid reliability and other areas of the energy market.

Check out this installment of the I AM AI video series to learn about how NVIDIA is enabling these technologies and working with energy-conscious collaborators to drive breakthroughs for a cleaner, safer, more sustainable future.

AI Can See Clearly Now

Many patients in lower- and middle-income countries lack access to cataract surgery because of a shortage of ophthalmologists. But more than 2,000 doctors a year in lower-income countries can now treat cataract blindness — the world’s leading cause of blindness —using GPU-powered surgical simulation with the help of nonprofit HelpMeSee.

“We’re lowering the barrier for healthcare practitioners to learn these specific skills that can have a profound impact on patients,” said Bonnie An Henderson, CEO of the New York-based nonprofit.

Waste Not, Want Not

Afresh, based in San Francisco, helps stores reduce food waste. The startup has developed machine learning and AI models using data on fresh produce to help grocers make informed inventory-purchasing decisions. It has also launched software that enables grocers to save time and increase data accuracy with inventory tracking.

“The most impactful thing we can do is reduce food waste to mitigate climate change,” said Nathan Fenner, cofounder and president of Afresh, on the NVIDIA AI podcast.

 

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Explore a Whole New ‘Monster Hunter: World’ on GeForce NOW

Explore a Whole New ‘Monster Hunter: World’ on GeForce NOW

Time to gear up, hunters — Capcom’s Monster Hunter: World joins the GeForce NOW library, bringing members the ultimate hunting experience on any device.

It’s all part of an adventurous week, with nearly a dozen new games joining the cloud gaming service.

A Whole New World

Monster Hunter World on GeForce NOW
Hunt or be hunted.

Join the Fifth Fleet on an epic adventure to the New World, a land full of monstrous creatures, in the acclaimed action role-playing game (RPG) Monster Hunter: World. It’s the latest in the series to join the cloud, following Monster Hunter Rise.

Members can unleash their inner hunter and slay ferocious monsters in a living, breathing ecosystem. Explore the unique landscape and encounter diverse monster inhabitants in ferocious hunting battles. Hunt alone or with up to three other players, and use materials collected from fallen foes to craft new gear and take on bigger, badder beasts.

Step up to the Quest Board and hunt monsters in the cloud at up to 4K resolution and 120 frames per second as an Ultimate member — or discover the New World at ultrawide resolutions. Members don’t need to wait for downloads or worry about storage space, and can take the action with them across nearly all devices.

Surprise!

One of the best ways to stream top PC games on the go — even the stunning neon lights of Cyberpunk 2077 — is with a Chromebook Plus. NVIDIA invited Cyberpunk 2077 fans well-versed on the graphics-intensive game to try it out on an unknown, hidden system.

They were shocked to realize they were playing on a Chromebook Plus with GeForce NOW’s Ultimate tier.

NVIDIA brought the same activation to attendees of The Game Awards, one of the industry’s most-watched award shows.

With the ability to stream from powerful GeForce RTX 4080 GPU-powered servers in the cloud with the Ultimate tier — paired with the cloud gaming Chromebook Plus’ high refresh rates, high-resolution displays, gaming keyboards, fast WiFi 6 connectivity and immersive audio — it’s no surprise participants gave the same surprised and delighted response.

To experience the power of gaming on a Chromebook with GeForce NOW, Google and NVIDIA are offering Chromebook owners three free months of a premium GeForce NOW membership. Find more details on how to redeem the offer on the Chromebook Perks page.

Festival of Games

Genshin Impact 4.3 update on GeForce NOW
Lights, camera, action!

The latest update from opular open-world action RPG Genshin Impact from miHoYo is now available for members to stream. It brings two new characters, new events and a whole host of new features. Get to know the Geo Claymore character Navia, as well as Chevreuse, a new Pyro Polearm user, and more during the Fontinalia Festival event.

Don’t miss the 11 newly supported games joining the GeForce NOW library this week:

And there’s still time to give the gift of cloud gaming with the latest membership bundle, which includes a free, three-month PC Game Pass subscription with the purchase of a six-month GeForce NOW Ultimate membership.

What are you planning to play this weekend? Let us know on Twitter or in the comments below.

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Cool Robots of 2023: Meet the Autonomous Movers and Shakers

Cool Robots of 2023: Meet the Autonomous Movers and Shakers

Outside the glare of the klieg lights that ChatGPT commanded this year, a troupe of autonomous machines nudged the frontiers of robotics forward.

Here are six that showed special prowess — swimming, diving, gripping, seeing, strolling and flying through 2023.

A Media Darling at CES

Ella — a smart stroller from startup Glüxkind Technologies, of Vancouver, Canada — kicked off the year when it was named an honoree in the CES 2023 Innovation Awards.

The canny carriage uses computer vision running on the NVIDIA Jetson edge AI platform to follow parents. Its AI-powered abilities, like smart braking and a rock-my-baby mode, captured the attention of media outlets like Good Morning America and The Times of London as well as an NVIDIA AI Podcast interview with its husband-and-wife cofounders.

A member of NVIDIA Inception, a free program for cutting-edge startups, Glüxkind was one of seven companies with NVIDIA-powered products recognized at the Las Vegas event in January. They included:

  • John Deere for its fully autonomous tractor,
  • AGRIST for its robot that automatically harvests bell peppers,
  • Inception member Skydio for its drone that can fly at a set distance and height without manual intervention,
  • Neubility, another Inception member, for its self-driving delivery robot,
  • Seoul Robotics, a partner in the NVIDIA Metropolis vision AI software, for its Level 5 Control Tower that can turn standard vehicles into self-driving cars, and
  • WHILL for its one-person vehicle that automatically guides a user inside places like airports or hospitals.

Dexterous Food Packer

Inception startup Soft Robotics, of Bedford, Mass., introduced its mGripAI system to an $8 trillion food industry hungry for automation. It combines 3D vision and AI to grasp delicate items such as chicken wings, attracting investors that include Tyson Foods and Johnsonville.

Soft Robotics uses the NVIDIA Omniverse platform and NVIDIA Isaac Sim robotics simulator to create 3D renderings of chicken parts on conveyor belts or in bins. With help from AI and the ray-tracing capabilities of NVIDIA RTX technology, they help the robot gripper handle as many as 100 picks per minute, even under glare or changing light conditions.

“We’re all in on Omniverse and Isaac Sim, and that’s been working great for us,” said David Weatherwax, senior director of software engineering at Soft Robotics.

A Keen Eye in the Factory

In a very different example of industrial digitalization, leading electronics manufacturer Quanta is inspecting the quality of its products using the TM25S, an AI-enabled robot from its subsidiary, Techman Robot.

Using Omniverse, Techman built a digital twin of the inspection robot — as well as the product to be inspected — in Isaac Sim. Programming the robot in simulation reduced time spent on the task by over 70%, compared to programming manually on the real robot.

Then, with powerful optimization tools in Isaac Sim, Techman explored a massive number of program options in parallel on NVIDIA GPUs. The end result, shown in the video below, was an efficient solution that reduced the cycle time of each inspection by 20%.

Sailing the Seas for Data Science

For its part, Saildrone, an Inception startup in Alameda, Calif., created uncrewed watercraft that can cost-effectively gather data for science, fisheries, weather forecasting and more. NVIDIA Jetson modules process data streams from their sensors, some with help from NVIDIA Metropolis vision AI software such as NVIDIA DeepStream, a development kit for intelligent video analytics.

The video below shows how three of its smart sailboats are helping evaluate ocean health around the Hawaiian Islands.

Destination: Mars

The next stop for one autonomous vehicle may be the red planet.

Caltech’s Multi-Modal Mobility Morphobot, or M4, can configure itself to walk, fly or drive at speeds up to 40 mph (video below). An M42 version is now under development at NASA as a Mars rover candidate and has attracted interest for other uses like reconnaissance in fire zones.

Since releasing a paper on it in Nature Communications, the team has been inundated with proposals for the shape-shifting drone built on the NVIDIA Jetson platform.

Delivery Drone Flies High

The year ended on a high note with San Francisco-based Zipline announcing its delivery drones flew more than 55 million miles and made more than 800,000 deliveries since the company’s start in 2011. Zipline now completes one delivery every 70 seconds, globally.

That’s a major milestone for the Inception startup, the field it’s helping pioneer and the customers who can receive everything from pizza to vitamins 7x faster than by truck.

Zipline’s latest drone uses two Jetson Orin NX modules. It can carry eight pounds of cargo for 10 miles at up to 70 mph to deliver packages in single-digit minutes while reducing carbon emissions 97% compared to gasoline-based delivery vehicles.

Machines That Inspire, Amuse

Individual makers designed two autonomous vehicles this year worth special mentions.

Cool Jetson-based robot of 2023
Goran Vuksic with his AI-powered droid

Kabilan KB, a robotics developer and student in Coimbatore, India, built an autonomous wheelchair using Jetson to run computer vision models that find and navigate a path to a user’s desired destination. The undergrad at the Karunya Institute of Technology and Sciences aspires to one day launch a robotics startup.

Finally, an engineering manager in Copenhagen who’s a self-described Star Wars fanatic designed an AI-powered droid based on an NVIDIA Jetson Orin Nano Developer Kit. Goran Vuksic shared his step-by-step technical guide, so others can build their own sci-fi companions.

More than 6,500 companies and 1.2 million developers — as well as a community of makers and enthusiasts — use the NVIDIA Jetson and Isaac platforms for edge AI and robotics.

To get a look at where autonomous machines will go next, see what’s coming at CES in 2024.

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Thomson Reuters Taps Generative AI to Power Legal Offerings

Thomson Reuters Taps Generative AI to Power Legal Offerings

Thomson Reuters, the global content and technology company, is transforming the legal industry with generative AI.

In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Thomson Reuters Chief Product Officer David Wong about its potential — and implications.

Many of Thomson Reuters offerings for the legal industry either address an information retrieval problem or help generate written content.

It has aN AI-driven digital solution that enables law practitioners to search laws and cases intelligently within different jurisdictions. It also provides AI-powered tools that are set to be integrated with commonly used products like Microsoft 365 to automate the time-consuming processes of drafting and analyzing legal documents.

These technologies increase the productivity of legal professionals, enabling them to focus their time on higher-value work. According to Wong, ultimately these tools also have the potential to help deliver better access to justice.

To address ethical concerns, the company has created publicly available AI development guidelines, as well as privacy and data protection policies. And it’s participating in the drafting of ethical guidelines for the industries it serves.

There’s still a wide range of reactions surrounding AI use in the legal field, from optimism about its potential to fears of job replacement. But Wong underscored that no matter what the outlook, “it is very likely that professionals that use AI are going to replace professionals that don’t use AI.”

Looking ahead, Thomson Reuters aims to further integrate generative AI, as well as retrieval-augmented generation techniques into its flagship research products to help lawyers synthesize, read and respond to complicated technical and legal questions. Recently, Thomson Reuters acquired Casetext, which developed the first AI legal assistant, CoCounsel.

In 2024 Thomson Reuters is building on this with the launch of an AI assistant that will be the interface across Thomson Reuters products with GenAI capabilities, including those in other fields such as tax and accounting.

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Into the Omniverse: Foundry Nuke’s OpenUSD Enhancements Ring in a 3D Renaissance

Into the Omniverse: Foundry Nuke’s OpenUSD Enhancements Ring in a 3D Renaissance

Editor’s note: This post is part of Into the Omniverse, a series focused on how artists, developers and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse.

3D designers and creators are embracing Universal Scene Description, aka OpenUSD, to transform their workflows.

Creative software company Foundry’s latest release of Nuke, a powerful compositing tool for visual effects (VFX), is bringing increased support for OpenUSD, a framework that provides a unified and extensible ecosystem for describing, composing, simulating and collaborating within 3D worlds.

With advanced compositing and improved interoperability capabilities, artists are showcasing the immense potential of Nuke and OpenUSD for visual storytelling.

Bringing 3D Visions to Life With Nuke and OpenUSD

YouTuber Jacob Zirkle is one such 3D artist.

Inspired by his 10th watch through the Star Wars films, Zirkle wanted to create a sci-fi ship of his own. He first combined computer graphics elements in Blender and Unreal Engine before using USD to bring the scene into Nuke for compositing.

Zirkle’s ship, built using Blender, Nuke, Unreal Engine and USD Composer.

OpenUSD was the glue that held his workflow together.

“Usually, I have to deal with multiple, varying file types in my VFX pipeline, and as soon as something gets updated, it can be a real pain to apply the change across the board,” Zirkle said. “But because I was using the same OpenUSD file for all of my programs, I could save the file once, and changes get automatically propagated through the pipeline — saving me a ton of time.”

Edward McEvenue, an associate creative director at NVIDIA, is using OpenUSD and Nuke to create his short film with the working title: “Dare to Dream.”

Through the project, McEvenue hopes to visualize aspects of automated manufacturing. He uses Autodesk 3ds Max and SideFX Houdini for 3D scene creation, Chaos V-Ray for rendering arbitrary output variables and extended dynamic range sequences, and Nuke for compositing elements for final renders.

OpenUSD helps streamline data transfer between applications, speeding the iteration process. “Nuke’s USD capabilities allow me to seamlessly transition 3D assets between digital content-creation apps, providing a powerful tool for achieving advanced compositing techniques,” he said.

Other NVIDIA creatives have integrated OpenUSD and Nuke into their 3D workflows. A team of 10 artists developed a fully OpenUSD-based pipeline and custom tooling on NVIDIA Omniverse — a development platform for building OpenUSD-based tools and applications — to bring to life the “Da Vinci Workshop,” a project to inspire greater OpenUSD use among pipeline developers.

The artists also used Adobe Substance Painter, Autodesk 3ds Max, Autodesk Maya, DaVinci Resolve, SideFX Houdini, Pixelogic Zbrush and Omniverse USD Composer. OpenUSD served as the backbone of the team’s internal pipeline, offering the flexibility needed to collaborate across applications with ease.

The “Da Vinci Workshop” OpenUSD dataset is now available on the Omniverse launcher — free for developers and artists.

Foundry Nuke representatives, Omniverse community members and the NVIDIA creative team recently joined a livestream to discuss their 3D workflows and the impact of OpenUSD. Learn more by watching the replay:

Powering Digital Workflows With OpenUSD

The 15.0 and 14.1 updates to Nuke bring significant workflow enhancements to those working with OpenUSD.

The updated GeoMerge node now offers four new modes: Merge Layers, Duplicate Prims, Flatten Layers and Flatten to Single Layer. These give users greater control over geometry and OpenUSD layers, allowing for quick merging of complex structures, the duplication of workflows and more effective layer management.

The OpenUSD-based 3D system introduced in Nuke 14.0 enables users to handle large, intricate scenes with greater ease. And the new Scene Graph Popup feature in Nuke 15.0 allows users to easily filter through 3D scene data, reducing time and energy needed to spend searching for specific assets.

In addition, the main 3D scene graph now includes a search and filter feature, simplifying workspace navigation.

Foundry is also embracing OpenUSD across its other products, including the latest updates to Katana 7.0, which boost pipeline efficiency by integrating USD-native workflows already aligned with Nuke’s 3D system architecture.

Get Plugged In to the World of OpenUSD 

NVIDIA and Foundry are both members of the Alliance for OpenUSD (AOUSD), an organization dedicated to an open-source future using the powerful framework. To learn more, explore the AOUSD forum and check out these resources on OpenUSD.

Share your Nuke and Omniverse work as part of the latest community #WinterArtChallenge. Use the hashtag for a chance to be featured on the @NVIDIAStudio and @NVIDIAOmniverse social channels.

Get started with NVIDIA Omniverse by downloading the standard license free, access OpenUSD resources, and learn how Omniverse Enterprise can connect your team. Stay up to date on Instagram, Medium and Twitter. For more, join the Omniverse community on the  forums, Discord server, Twitch and YouTube channels.

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NVIDIA to Reveal New AI Innovations at CES 2024

NVIDIA to Reveal New AI Innovations at CES 2024

In the lead-up to next month’s CES trade show in Las Vegas, NVIDIA will unveil its latest advancements in artificial intelligence — including generative AI — and a spectrum of other cutting-edge technologies.

Scheduled for Monday, Jan. 8, at 8 a.m. PT, the company’s special address will be publicly streamed. Save the date and plan to tune in to the virtual address, which will focus on consumer technologies and robotics, on NVIDIA’s website, YouTube or Twitch.

AI and NVIDIA technologies will be the focus of 14 conference sessions, including four at CES Digital Hollywood, “Reshaping Retail – AI Creating Opportunity,” “Robots at Work” and “Cracking the Smart Car.”

And throughout CES, NVIDIA’s story will be enriched by the presence of over 85 NVIDIA customers and partners.

  • Consumer: AI, gaming and NVIDIA Studio announcements and demos with partners including Acer, ASUS, Dell, GIGABYTE, HP, Lenovo, MSI, Razer, Samsung, Zotac and more.
  • Auto: Showcasing partnerships with leaders including Mercedes-Benz, Hyundai, Kia, Polestar, Luminar and Zoox.
  • Robotics: Working alongside Dreame Innovation Technology, DriveU, Ecotron, Enchanted Tools, GluxKind, Hesai Technology, Leopard Imaging, Ninebot (Willand (Beijing) Technology Co., Ltd.), Orbbec, QT Company, Unitree Robotics and Voyant Photonics.
  • Enterprise: Collaborations with Accenture, Adobe, Altair, Ansys, AWS, Capgemini, Dassault Systems, Deloitte, Google, Meta, Microsoft, Siemens, Wipro and others.

For the investment community, NVIDIA will participate in a CES Virtual Fireside Chat hosted by J.P. Morgan on Tuesday, Jan. 9, at 8 a.m. PT. Listen to the live audio webcast at investor.nvidia.com.

Visit NVIDIA’s event web page for a complete list of sessions and a view of our extensive partner ecosystem at the show.

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DLSS 3.5 Integration in D5 Render Marks New Era of Real-Time Rendering

DLSS 3.5 Integration in D5 Render Marks New Era of Real-Time Rendering

Editor’s note: This post is part of our weekly In the NVIDIA Studio series, which celebrates featured artists, offers creative tips and tricks, and demonstrates how NVIDIA Studio technology improves creative workflows.

NVIDIA DLSS 3.5 for realistic ray-traced visuals is now available on D5 Render, a real-time 3D creation software. The integration features DLSS Super Resolution, Frame Generation and Ray Reconstruction powered by an AI neural network.

And this week’s In the NVIDIA Studio 3D artist Michael Gilmour shares his wondrous, intricate winter worlds in long-form videos.

His winter-themed creations join Arkadly Demchenko, Austin Smith and Maggie Shelton’s works in the latest Studio Standouts video, available on the NVIDIA Studio YouTube channel.

Also, tune in to the NVIDIA special address at CES on Jan. 8 at 8 a.m. PT for the latest and greatest on content creation, AI-related news and more.

DLSS 3.5 Accelerates Real-Time Rendering

D5 Render is a software designed for 3D designers and professionals working on large-scale architectural or landscaping projects.

Use D5 Render and NVIDIA GeForce RTX GPUs to model and render massive scenes.

Support for NVIDIA DLSS Frame Generation in D5 Render enhances ray-tracing performance and boosts real-time viewport frame rates for a smoother editing experience, enabling intuitive, interactive 3D creation.

Smoother movement in the viewport with DLSS 3.5.

Ray Reconstruction, a new neural rendering AI model, further enhances ray-traced visual quality by providing intelligent denoising solutions for an extensive variety of content at quick speeds.

Enhanced visual quality with DLSS 3.5 and Ray Reconstruction.

With both DLSS Frame Generation and Ray Reconstruction enabled, FPS in the viewport increases by a staggering 2.5x, enabling incredible resolution and visual quality in massive scenes.

Autodesk VRED, a professional digital prototyping software, also adds DLSS 3.5 support, bringing smoother viewport movement and higher graphical fidelity.

Winter Tinker

Gilmour, this week’s featured NVIDIA Studio artist, grew up in the beautiful winters of Appleton, Wisconsin. It’s no surprise he conjured up chillingly beautiful winter worlds to share with his friends, family and the creative community — fueled by his passion for 3D art.

Shared as long-form videos, these winter wonderlands showcase breathtakingly photorealistic details.

His winter video compilation — featuring “Campfire on a Winter Cliff,” “Dickensian Christmas Reading Nook” and “Northern Lights” — is designed to offer viewers a sense of peace and relaxation while encouraging self-reflection.

Gilmour began his creative workflows in Unreal Engine, building out the environments. He used the Ultra Dynamic Sky system plug-in by game developer Everett Gunther, which offered greater flexibility and more customization options to achieve the effects in this northern lights scene.

Fully built models are available in Unreal Engine, but to achieve further customization, Gilmour created custom 3D meshes in Blender. He used Blender Cycles’ NVIDIA RTX-accelerated OptiX ray tracing in the viewport for interactive, photorealistic rendering — all powered by his GeForce RTX 3060 graphics card.

“Originally, I chose an NVIDIA RTX GPU because of its CUDA core integration in Blender’s Cycles rendering engine,” said Gilmour. “Now with ray-tracing capabilities in Unreal Engine 5, it’s a no-brainer.”

Organizing assets in Unreal Engine.

He then acquired models in Quixel Megascans to block out the scene in Unreal Engine, creating a rough draft using simple, unpolished 3D shapes. This helped to keep base meshes clean, eliminating the need to create new ones in the next iteration.

Moving models in Unreal Engine.

To build the fire and glowing firewood in his “Campfire on a Winter Cliff” scene, Gilmour used the M5 VFX Vol 2 and Twinmotion Backyard Pack 2 packs from Unreal Engine. The NVIDIA PhysX SDK, advanced shader support and real-time ray tracing enabled high-fidelity, interactive visualization for swift viewport movement.

By upgrading to a GeForce RTX 40 Series GPU, Gilmour could use NVIDIA DLSS Frame Generation to further improve viewport interactivity by tapping AI to generate additional, high-quality frames, ensuring increased FPS rendered at lower resolution while retaining high-fidelity detail.

When finished building his scenes, Gilmour moved to Blackmagic Design’s DaVinci Resolve to color correct and add subtle film grains, lens distortion, lens reflection and glow effects. It was all GPU-accelerated, including the process of exporting final videos with the eighth-generation NVENC encoder.

Color correction in DaVinci Resolve.

The final touch to Gilmour’s wintry scenes were peaceful tunes, sampled from royalty-free music database Splice.

All that’s left to do is kick back, relax and soak in the scenery.

Digital 3D artist Michael Gilmour.

Check out Gilmour’s portfolio on ArtStation.

Follow NVIDIA Studio on Instagram, Twitter and Facebook. Access tutorials on the Studio YouTube channel and get updates directly in your inbox by subscribing to the Studio newsletter. 

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‘Forza Horizon’ Races Over to GeForce NOW

‘Forza Horizon’ Races Over to GeForce NOW

This GFN Thursday is burning rubber with the latest Forza Horizon games from Microsoft Studios. Check them out on PC Game Pass.

Plus, give the gift of cloud gaming with the latest membership bundle, which includes a free, three-month PC Game Pass subscription with the purchase of a six-month GeForce NOW Ultimate membership.

It’s all part of an exciting week, with 13 new games joining the GeForce NOW library.

Zoom, Zoom

Jump into the driver’s seat in Forza Horizon 4 and Forza Horizon 5 from Playground Games and Microsoft Studios. Explore the critically acclaimed open-world racing games, featuring dynamic weather and seasons that can make or break even the most seasoned drivers.

Forza Horizon 4 on GeForce NOW
For-za cloud.

Race across beautiful, historical Great Britain in Forza Horizon 4. Ride solo or team up online with players from around the globe in a shared, open world. Collect, modify and drive over 450 cars from the Horizon car roster — plus, race, stunt, create and explore to become a Horizon Superstar.

Forza Horizon 5 on GeForce NOW
The ultimate “Horizon” adventure plays best on the ultimate cloud gaming service.

Clutch in, shift gears and head over to the vibrant open world of Mexico in Forza Horizon 5. Jump-start the week with limitless driving action in hundreds of the world’s greatest cars. Join a campaign with hundreds of challenges across varied terrains and climates, or head online for multiplayer action. Members can enjoy both titles in Steam and Forza Horizon 5 in PC Game Pass. Visit this Knowledgebase article for further details.

Stream every turn at GeForce quality on nearly any device and max out image resolution thanks to the cloud. Ultimate members can get in gear at up to 4K resolution and 120 frames per second for the most realistic driving experience.

The Ultimate Adventure

Minecraft Dungeons on GeForce NOW
What a blockhead.

Minecraft Dungeons from Mojang Studios and Xbox Game Studios is an immensely popular title that’s amassed over 25 million players and brings the thrill of classic dungeon crawlers to a whole new level.

Brave the dungeons alone or team up with a squad. Up to four players can battle together online or in couch co-op, making it a great game for group gatherings. Fight through action-packed, treasure-stuffed, wildly varied levels — all part of an epic quest to save the villagers and take down the evil Arch-Illager, preventing his army from controlling the Overworld.

Stream it on an Ultimate and Priority account for longer gaming sessions and faster access to GeForce RTX-powered servers. Venture forth across devices and play it on the big screen with NVIDIA SHIELD TV or on Samsung and LG smart TVs for the ultimate couch co-op experience.

Games, Games, Games

Pioneers of Pagonia on GeForce NOW
Be a pioneer of the cloud.

Time for some new games. Explore, discover and reunite the fantastical islands of Pagonia in Pioneers of Pagonia from Envision Entertainment. Build over 40 types of buildings, use more than 70 types of goods, manage widely branched production chains and get creative to establish a thriving economy.

Don’t miss the 13 newly supported games joining the GeForce NOW library this week:

  • Stellaris Nexus (New release on Steam, Dec. 12)
  • Tin Hearts (New release on Xbox, available PC Game Pass, Dec. 12)
  • Pioneers of Pagonia (New release on Steam, Dec. 13)
  • House Flipper 2 (New release on Steam, Dec. 14)
  • Soulslinger: Envoy of Death (New release on Steam, Dec. 14)
  • Escape the Backrooms (Steam)
  • Flashback 2 (Steam)
  • Forza Horizon 4 (Steam)
  • Forza Horizon 5 (Steam, Xbox, and available on PC Game Pass)
  • The Front (Steam)
  • Minecraft Dungeons (Steam, Xbox and available on PC Game Pass)
  • Primal Carnage: Extinction (Steam)
  • Universe Sandbox (Steam)

What are you planning to play this weekend? Let us know on Twitter or in the comments below.

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How Is AI Used in Fraud Detection?

How Is AI Used in Fraud Detection?

The Wild West had gunslingers, bank robberies and bounties — today’s digital frontier has identity theft, credit card fraud and chargebacks.

Cashing in on financial fraud has become a multibillion-dollar criminal enterprise. And generative AI in the hands of fraudsters only promises to make this more profitable.

Credit card losses worldwide are expected to reach $43 billion by 2026, according to the Nilson Report.

Financial fraud is perpetrated in a growing number of ways, like harvesting hacked data from the dark web for credit card theft, using generative AI for phishing personal information, and laundering money between cryptocurrency, digital wallets and fiat currencies. Many other financial schemes are lurking in the digital underworld.

To keep up, financial services firms are wielding AI for fraud detection. That’s because many of these digital crimes need to be halted in their tracks in real time so that consumers and financial firms can stop losses right away.

So how is AI used for fraud detection?

AI for fraud detection uses multiple machine learning models to detect anomalies in customer behaviors and connections as well as patterns of accounts and behaviors that fit fraudulent characteristics.

Generative AI Can Be Tapped as Fraud Copilot

Much of financial services involves text and numbers. Generative AI and large language models (LLMs), capable of learning meaning and context, promise disruptive capabilities across industries with new levels of output and productivity. Financial services firms can harness generative AI to develop more intelligent and capable chatbots and improve fraud detection.

On the opposite side, bad actors can circumvent AI guardrails with crafty generative AI prompts to use it for fraud. And LLMs are delivering human-like writing, enabling fraudsters to draft more contextually relevant emails without typos and grammar mistakes. Many different tailored versions of phishing emails can be quickly created, making generative AI an excellent copilot for perpetrating scams. There are also a number of dark web tools like FraudGPT, which can exploit generative AI for cybercrimes.

Generative AI can be exploited for financial harm in voice authentication security measures as well. Some banks are using voice authentication to help authorize users. A banking customer’s voice can be cloned using deep fake technology if an attacker can obtain voice samples in an effort to breach such systems. The voice data can be gathered with spam phone calls that attempt to lure the call recipient into responding by voice.

Chatbot scams are such a problem that the U.S. Federal Trade Commission called out concerns for the use of LLMs and other technology to simulate human behavior for deep fake videos and voice clones applied in imposter scams and financial fraud.

How Is Generative AI Tackling Misuse and Fraud Detection? 

Fraud review has a powerful new tool. Workers handling manual fraud reviews can now be assisted with LLM-based assistants running RAG on the backend to tap into information from policy documents that can help expedite decision-making on whether cases are fraudulent, vastly accelerating the process.

LLMs are being adopted to predict the next transaction of a customer, which can help payments firms preemptively assess risks and block fraudulent transactions.

Generative AI also helps combat transaction fraud by improving accuracy, generating reports, reducing investigations and mitigating compliance risk.

Generating synthetic data is another important application of generative AI for fraud prevention. Synthetic data can improve the number of data records used to train fraud detection models and increase the variety and sophistication of examples to teach the AI to recognize the latest techniques employed by fraudsters.

NVIDIA offers tools to help enterprises embrace generative AI to build chatbots and virtual agents with a workflow that uses retrieval-augmented generation. RAG enables companies to use natural language prompts to access vast datasets for information retrieval.

Harnessing NVIDIA AI workflows can help accelerate building and deploying enterprise-grade capabilities to accurately produce responses for various use cases, using foundation models, the NVIDIA NeMo framework, NVIDIA Triton Inference Server and GPU-accelerated vector database to deploy RAG-powered chatbots.

There’s an industry focus on safety to ensure generative AI isn’t easily exploited for harm. NVIDIA released NeMo Guardrails to help ensure that intelligent applications powered by LLMs, such as OpenAI’s ChatGPT, are accurate, appropriate, on topic and secure.

The open-source software is designed to help keep AI-powered applications from being exploited for fraud and other misuses.

What Are the Benefits of AI for Fraud Detection?

Fraud detection has been a challenge across banking, finance, retail and e-commerce.  Fraud doesn’t only hurt organizations financially, it can also do reputational harm.

It’s a headache for consumers, as well, when fraud models from financial services firms overreact and register false positives that shut down legitimate transactions.

So financial services sectors are developing more advanced models using more data to fortify themselves against losses financially and reputationally. They’re also aiming to reduce false positives in fraud detection for transactions to improve customer satisfaction and win greater share among merchants.

Financial Services Firms Embrace AI for Identity Verification

The financial services industry is developing AI for identity verification. AI-driven applications using deep learning with graph neural networks (GNNs), natural language processing (NLP) and computer vision can improve identity verification for know-your customer (KYC) and anti-money laundering (AML) requirements, leading to improved regulatory compliance and reduced costs.

Computer vision analyzes photo documentation such as drivers licenses and passports to identify fakes. At the same time, NLP reads the documents to measure the veracity of the data on the documents as the AI analyzes them to look for fraudulent records.

Gains in KYC and AML requirements have massive regulatory and economic implications. Financial institutions, including banks, were fined nearly $5 billion for AML, breaching sanctions as well as failures in KYC systems in 2022, according to the Financial Times.

Harnessing Graph Neural Networks and NVIDIA GPUs 

GNNs have been embraced for their ability to reveal suspicious activity. They’re capable of looking at billions of records and identifying previously unknown patterns of activity to make correlations about whether an account has in the past sent a transaction to a suspicious account.

NVIDIA has an alliance with the Deep Graph Library team, as well as the PyTorch Geometric team, which provides a GNN framework containerized offering that includes the latest updates, NVIDIA RAPIDS libraries and more to help users stay up to date on cutting-edge techniques.

These GNN framework containers are NVIDIA-optimized and performance-tuned and tested to get the most out of NVIDIA GPUs.

With access to the NVIDIA AI Enterprise software platform, developers can tap into NVIDIA RAPIDS, NVIDIA Triton Inference Server and the NVIDIA TensorRT software development kit to support enterprise deployments at scale.

Improving Anomaly Detection With GNNs

Fraudsters have sophisticated techniques and can learn ways to outmaneuver fraud detection systems. One way is by unleashing complex chains of transactions to avoid notice. This is where traditional rules-based systems can miss patterns and fail.

GNNs build on a concept of representation within the model of local structure and feature context. The information from the edge and node features is propagated with aggregation and message passing among neighboring nodes.

When GNNs run multiple layers of graph convolution, the final node states contain information from nodes multiple hops away. The larger receptive field of GNNs can track the more complex and longer transaction chains used by financial fraud perpetrators in attempts to obscure their tracks.

GNNs Enable Training Unsupervised or Self-Supervised 

Detecting financial fraud patterns at massive scale is challenged by the tens of terabytes of transaction data that needs to be analyzed in the blink of an eye and a relative lack of labeled data for real fraud activity needed to train models.

While GNNs can cast a wider detection net on fraud patterns, they can also train on an unsupervised or self-supervised task.

By using techniques such as Bootstrapped Graph Latents — a graph representation learning method — or link prediction with negative sampling, GNN developers can pretrain models without labels and fine-tune models with far fewer labels, producing strong graph representations. The output of this can be used for models like XGBoost, GNNs or techniques for clustering, offering better results when deployed for inference.

Tackling Model Explainability and Bias

GNNs also enable model explainability with a suite of tools. Explainable AI is an industry practice that enables organizations to use such tools and techniques to explain how AI models make decisions, allowing them to safeguard against bias.

Heterogeneous graph transformer and graph attention network, which are GNN models, enable attention mechanisms across each layer of the GNN, allowing developers to identify message paths that GNNs use to reach a final output.

Even without an attention mechanism, techniques such as GNNExplainer, PGExplainer and GraphMask have been suggested to explain GNN outputs.

Leading Financial Services Firms Embrace AI for Gains

  • BNY Mellon: Bank of New York Mellon improved fraud detection accuracy by 20% with federated learning. BNY built a collaborative fraud detection framework that runs Inpher’s secure multi-party computation, which safeguards third-party data on NVIDIA DGX systems.​
  • PayPal: PayPal sought a new fraud detection system that could operate worldwide continuously to protect customer transactions from potential fraud​ in real time.​ The company delivered a new level of service, using NVIDIA GPU-powered inference to improve real-time fraud detection by 10% while lowering server capacity nearly 8x.
  • Swedbank: Among Sweden’s largest banks, Swedbank trained NVIDIA GPU-driven generative adversarial networks to detect suspicious activities in efforts to stop fraud and money laundering, saving $150 million in a single year.

Learn how NVIDIA AI Enterprise addresses fraud detection at this webinar.

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Pie From the Sky: Drone Startup Delivers Pizza, Meds and Side of Excitement

Pie From the Sky: Drone Startup Delivers Pizza, Meds and Side of Excitement

Zipline isn’t just some pie-in-the-sky drone startup.

The San Francisco-based company has completed more than 800,000 deliveries in seven countries since its start in 2011. It recently added services for Seattle’s Pagliacci Pizza, vitamin and supplement giant GNC, and large health systems like Intermountain Health, OhioHealth and Michigan Medicine.

Zipline developed its drones — which have now flown more than 55 million miles — for autonomous navigation and precision landings using the NVIDIA Jetson edge AI and robotics platform.

The fast-growing company recently landed $330 million in funding at a more than $4 billion valuation.

Zipline is a member of NVIDIA Inception, a program that provides startups with technological support and AI platform guidance.

Delivering With Jetson-Powered Fleets

The company’s P1 drone, or platform one, has been deployed in production for seven years and currently uses the Jetson Xavier NX system-on-module to process its sensor inputs. It’s guided by GPS, air traffic control communications, inertial measurement unit sensors and its onboard detection and avoidance system, with redundancy of guidance for safety.

“The NVIDIA Jetson module in the wing is part of what delivers our acoustic detection and avoidance system, so it allows us to listen for other aircraft in the airspace around us and plot trajectories that avoid any conflict,” said A.J. Frantz, navigation lead at Zipline.

The company’s fixed-wing drones can fly out more than 55 miles, at 70 miles per hour, for deliveries from one of several Zipline distribution centers and then return. Capable of hauling up to four pounds of cargo, they autonomously fly over delivery locations and release packages that float down to their destination by parachute.

The company’s P2, or platform two, is a hybrid drone that can fly fast on fixed-wing flights — but also hover. It can carry eight pounds of cargo for 10 miles and packs a droid that can be lowered on a tether to complete deliveries with precision placement. It’s intended for use in dense, urban environments.

The P2 uses two Jetson Orin NX modules. One is for the drone’s sensor fusion system to understand environments. The other is in the droid that descends by tether — for redundancy to provide added safety.

“The P2 droid is about bringing the smallest, quickest, safest, quietest drone in for delivery, coming down precisely and leaving the package — and then going back up,” said Joseph Mardall, head of engineering at Zipline. “We want to integrate into people’s lives in a way that they love and that feels magical.”

Zipline completes one delivery every 70 seconds globally.

Flying Away With a Roster of Customers

Zipline’s service offers advantages that are attracting customers. Its drones, fondly nicknamed ‘Zips,’ are capable of 7x faster delivery times compared with vehicle deliveries, according to the company.

“Our aircraft fly at 70 miles per hour, as the crow flies, so no traffic, no waiting at lights — we’re talking minutes here in terms of delivery times,” said Mardall. “Single-digit minutes are common for deliveries, so it’s faster than any alternative, for sure.”

In addition to services for pizza, vitamins and courier meds, Zipline works with Walmart, restaurant chain Sweetgreen, Michigan Medicine, MultiCare Health Systems, Intermountain Health and the government of Rwanda, among others. It also delivers to more than 4,000 hospitals and health centers, according to the company.

Zipline started its service delivering blood in Rwanda seven years ago and later expanded into food and convenience.

Riding Jetson Orin for Energy Efficiency, Environmental Benefits

Delivering energy-efficient computing is mission-critical for the run-time of autonomous machines, used in everything from delivery services and agriculture to mining and undersea exploration. NVIDIA Jetson Orin modules offer up to 275 trillion operations per second while providing market-leading energy efficiency.

“You can pick the right place for your algorithms to run to make sure you’re getting the most out of the hardware and the power that you are putting into the system,” said Frantz.

Startups using Jetson-driven applications are also leading the way in sustainability, as more next-generation electric-driven autonomous machines replace those contributing to pollution.

Deliveries by Zipline offer a 97% reduction in carbon emissions compared with gasoline-driven vehicles, according to the company.

“We are super excited to significantly reduce carbon emissions,” said Mardall. “And when building an electric aircraft, efficiency is totally key — every watt, every fraction of a watt, every joule that we can claw back can be turned into payload and range.”

Learn more about NVIDIA Jetson Orin.

 

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